Instructions to use eawang/roberta_mc_model_7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eawang/roberta_mc_model_7 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("eawang/roberta_mc_model_7") model = AutoModelForMultipleChoice.from_pretrained("eawang/roberta_mc_model_7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eawang/roberta_mc_model_7: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/eawang/roberta_mc_model_7/resolve/main/training_args.bin
- Command line
-
hf download hf://eawang/roberta_mc_model_7/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eawang/roberta_mc_model_7/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 659c960615c7868e87204364f3c90f459edd254e9706cdc2373010ecf32ef7b7
- Size of remote file:
- 3.58 kB
- SHA256:
- 63e028fd8604812013e7a546e48651ca40f89bbb0b98bb4f01f62723108fc9cd
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